To modeling the spread of forest fires using GIS technologies
UDC
510.67:528:554DOI:
https://doi.org/10.31429/vestnik-16-4-13-21Abstract
When modeling fire situations, discrete cellular-automaton approaches, as well as geographic information systems (GIS) with the ability to store and visualize spatial information, are very effective tools. In the paper we describe the methods of cellular automaton modeling, which allows to expand the possibilities of studying the processes associated with the spread of the fire front. In order to use GIS as a means of cartographic visualization for the simulation results, a digital elevation model (DEM) of the terrain for the mountainous and coastal regions of the Krasnodar region was constructed and a technology for creating a 3D~terrain model of these territories was developed. For a model description of real computational areas, in this paper, we have constructed a digital terrain model of the territory of the Krasnodar region. We also edited the topographic foundation covering the territory of the Krasnodar region and consisting of 29~sheets of undesigned (in geographical coordinates) digital data in the ArcInfo coating format of a scale of 1:200,000. The cartographic representation of the territory of the Krasnodar region in the ArcView, constructed according to that data in the Gauss-Kruger projection, was divided into sections 10x10 km in size. We used ArcView tools to obtain the TIN and GRID representations of the terrain.
The combination of functions implemented in the author's algorithms with GIS functions for processing attributive and graphic spatial data will provide effective solutions for modeling a spatially distributed process.
Keywords:
triangulation, composite cellular automata, fire front propagation, GIS, digital elevation modelFunding information
Работа выполнена при поддержке РФФИ и администрации Краснодарского края (19-41-230005)
References
- Kourtz P.H., O'Regan W.G. A model for a small forest fire to simulate burned andburning areas for use in a detection model // Forest Science. 1971. Vol. 17, Iss. 2. P.163–169.
- Перминов В.А. Математическое моделирование возникновения и распространения верховых лесных пожаров в осредненной постановке // Журнал технической физики. 2015. Т. 85. Вып. 2. С. 24–30. [Perminov, V.A. Matematicheskoe modelirovanie vozniknoveniya i rasprostraneniya verhovyh lesnyh pozharov v osrednennoj postanovke [Mathematical modeling of the occurrence and propagation of high forest fires in an averaged setting]. ZHurnal tekhnicheskoj fiziki [J. of Technical Physics], 2015, vol. 85, iss. 2, pp. 24–30. (In Russian)]
- Асылбаев Н.А. Математическое моделирование распространения степного пожара // Компьютерные исследования и моделирование 2010. Т. 2. № 4. С. 377–384. [Asylbaev, N.A. Matematicheskoe modelirovanie rasprostraneniya stepnogo pozhara [Mathematical modeling of the spread of the steppe fire]. Komp'yuternye issledovaniya i modelirovanie [Computer Research and Modeling], 2010, vol. 2, no. 4, pp. 377–384. (In Russian)]
- Мышецкая Е.Е. Математическое моделирование лесных пожаров с применением многопроцессорных ЭВМ // Математическое моделирование. 2008. Т. 20. №1 1. С. 28–34. [Mysheckaya, E.E. Matematicheskoe modelirovanie lesnyh pozharov s primeneniem mnogoprocessornyh EVM [Mathematical modeling of forest fires using multiprocessor computers]. Matematicheskoe modelirovanie [Mathematical modeling], 2008, vol. 20, no. 11, pp. 28–34. (In Russian)]
- Баровик Д.В., Таранчук В.Б. Алгоритмические основы построения компьютерной модели прогноза распространения лесных пожаров // Фундаментальные науки. Информатика. 2011. № 12. С. 51–56. [Barovik, D.V., Taranchuk, V.B. Algoritmicheskie osnovy postroeniya komp'yuternoj modeli prognoza rasprostraneniya lesnyh pozharov [Algorithmic basis for constructing a computer model for forecasting the spread of forest fires]. Fundamental'nye nauki. Informatika [Fundamental Sciences. Computer science], 2011, no. 12, pp. 51–56. (In Russian)]
- Кузык А.Д., Карабын О.А. Математическое моделирование распространения лесного пожара с учетом ветра и рельефа // Bezpieczeństwo i Technika Pożarnicza. 2013. Vol. 32. Iss. 4. P. 107–113. [Kuzyk, A.D., Karabyn, O.A. Matematicheskoe modelirovanie rasprostraneniya lesnogo pozhara s uchetom vetra i rel'efa [Mathematical modeling of the spread of a forest fire taking into account wind and topography]. Bezpieczeństwo i Technika Pożarnicza, 2013, vol. 32, iss. 4. pp. 107–113. (In Russian)]
- Рубцов С.Е., Павлова А.В. Клеточно-автоматные модели диффузионно-реакционных процессов многокомпонентных примесей // Защита окружающей среды в нефтегазовом комплексе. 2017. № 6. С. 55–60. [Rubtsov, S.E., Pavlova, A.V. Kletochno-avtomatnye modeli diffuzionno-reakcionnyh processov mnogokomponentnyh primesej [Cellular automaton models of diffusion-reaction processes of multicomponent impurities]. Zashchita okruzhayushchej sredy v neftegazovom komplekse [Environmental Protection in the Oil and Gas Complex], 2017, no. 6, pp. 55–60. (In Russian)]
- Рубцов С.Е., Павлова А.В., Олейников А.С. Клеточно-автоматное моделирование диффузии многокомпонентной примеси // Экологический вестник научных центров Черноморского экономического сотрудничества. 2017. № 4. Вып. 1. С. 86–93. [Rubtsov, S.E., Pavlova, A.V., Olejnikov, A.S. Kletochno-avtomatnoe modelirovanie diffuzii mnogokomponentnoj primesi [Cellular automaton modeling of diffusion of a multicomponent admixture]. Ekologicheskij vestnik nauchnyh centrov Chernomorskogo ekonomicheskogo sotrudnichestva [Ecological Bulletin of Research Centers of the Black Sea Economic Cooperation],2017, no. 4, pt. 1, pp. 86–93. (In Russian)]
- Павлова А.В., Родионов П.Р., Рубцов С.Е. К клеточно-автоматным моделям пожаров // Экология. Экономика. Информатика. Серия: Системный анализ и моделирование экономических и экологических систем. Вып. 4. Ростов н/Д: Изд-во ЮНЦ РАН, 2019. С. 245–251. [Pavlova, A.V., Rodionov, P.R., Rubtsov, S.E. K kletochno-avtomatnym modelyam pozharov [To cellular-automaton models of fires]. In Ekologiya. Ekonomika. Informatika. Seriya: Sistemnyj analiz i modelirovanie ekonomicheskih i ekologicheskih system [Ecology. Economy. Computer science. Series: System analysis and modeling of economic and ecological systems], vol. 4. Izd-vo YUNC RAN, Rostov n/D, 2019, pp. 245–251. (In Russian)]
- Митакович С.А. Прогнозирование распространения лесного пожара в ArcGIS // ГИС: теория и практика. ArcGIS 10.1. 2012. № 3 (62). https://www.esri-cis.ru/news/arcreview/ detail.php?ID=7818&SECTION_ID=252 [Mitakovich, S.A. Prognozirovanie rasprostraneniya lesnogo pozhara v ArcGIS [Predicting the spread of forest fires in ArcGIS]. GIS: teoriya i praktika. ArcGIS 10.1 [GIS: theory and practice. ArcGIS 10.1] 2012. no. 3 (62). https://www.esri-cis.ru/news/arcreview/detail.php?ID=7818&SECTION_ID=252. (In Russian)]
- Finney M.A. FARSITE: Fire Area Simulator // Model Development and Evaluation. USDA For. Serv. Res. Pap. RMRS-RP-4. 1989.
- Toffolli T., Margolus N. Cellular Automata Machines. MIT Press, 1987. 279 p.
- Bandman O. Comparative Study of Cellular automata Diffusion Models // Lecture Notes in Computer Science. 1999. Vol. 1662. P. 395–399.
- Евсеев А.А., Нечаева О.И. Клеточно-автоматное моделирование диффузионных процессов на триангуляционных сетках // Прикладная дискретная математика. 2009. № 4. С. 72–83. [Evseev, A.A., Nechaeva, O.I. Kletochno-avtomatnoe modelirovanie diffuzionnyh processov na triangulyacionnyh setkah [Cellular automaton modeling of diffusion processes on triangulation grids]. Prikladnaya diskretnaya matematika [Applied Discrete Mathematics], 2009, no. 4, pp. 72–83. (In Russian)]
Downloads
Downloads
Dates
Submitted
Accepted
Published
How to Cite
License
Copyright (c) 2019 Гладской И.Б., Павлова А.В., Рубцов С.Е.
This work is licensed under a Creative Commons Attribution 4.0 International License.